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Current Projects

Algorithms for self-organized particle systems

Supported by: DFG-Project, 2014-2017

The goal of the project is to develop and formally analyze distributed algorithms for central problems in the area of self-organizing particle systems. Concretely, we are interested in finding algorithms for the so-called 'smart paint problem', the 'shape formation problem', and 'bridging and covering problems'. In the 'smart paint problem' the problem is to cover the surface of a 2D- or 3D-object with a connected particle structure, in the 'shape formation problem' the goal is to arrange the particles into some desired shape, and in the 'bridging and covering problems' the goal is to cover or bridge gaps by the particles.

Further information here

Distributed Algorithms and Data Structures for highly scalable Systems

Funding: SFB 901, TP A1 und C1, 2011-2019

Here we investigate methods to design and develop distributed algorithms and data structures that are highly scalable. One major requirement towards these methods is an applicability in completely decentralized and highly dynamic systems, i.e., an ability to react to system changes with little effort.  Additionally, we want to emphasize the robustness of our methods, i.e., they are able to recover from an illegal state to a legal state of that algorithm/ data structure even when parts of the system behave erroneous or adversarial during the recovery phase.

Further informations here.

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